Health
988 storiesPublic health and medicine worldwide — sourced from WHO News.
Implicit Reasoning Steering via Concept Chaining
arXiv:2607.14242v1 Announce Type: new Abstract: Large language models often appear to reason reliably, yet on many questions repeated sampling yields both correct and incorrect answers, revealing an underlying fragility …
Information-Theoretic Adaptive Cooling for Deterministic MPPI via Entropy Feedback
arXiv:2607.14245v1 Announce Type: new Abstract: This paper investigates deterministic optimal control using Model Predictive Path Integral (MPPI) control, a sampling-based and derivative-free framework well suited for sy…
The Steering Budget: Examples beat Knobs
arXiv:2607.14246v1 Announce Type: new Abstract: Generative models are steered with knobs -- prompts, guidance scales, property tags. Turn one as hard as you like and, past a point, it stops moving the property you care a…
Enhanced Feedback Mechanisms for Resource-Efficient Incremental Redundancy
arXiv:2607.14247v1 Announce Type: new Abstract: Incremental redundancy (IR) can reduce error rates by spreading coded bits across multiple transmission attempts. However, conventional stop-and-wait operation with coarse …
3D Lane Detection with Odometry for High-Speed Vehicle Racing
arXiv:2607.14248v1 Announce Type: new Abstract: Lane boundary detection is a critical component in autonomous driving systems and has been rigorously studied in regular driving scenarios. However, it is less explored in …
MIDiff: Tackling Sparsity and Imbalance in Mobile Usage Generation via Multivariate-Imaging Diffusion
arXiv:2607.14249v1 Announce Type: new Abstract: Mobile usage traces are critical for tasks such as user behavior prediction and app recommendation, yet their use is constrained by privacy restrictions and costly large-sc…
The Severance Problem: LLMs are Unaware of the Person Beyond the Prompt
arXiv:2607.14250v1 Announce Type: new Abstract: Personal AI assistants have attracted significant interest for their potential to enhance everyday life by automating routine tasks, supporting consequential decisions, and…
MEMORA: Embodied Action Memory from Egocentric Videos for Reasoning and Planning
arXiv:2607.14252v1 Announce Type: new Abstract: Long-horizon robot planning requires more than predicting what actions will do next; it also requires memory of the embodied experience that makes future goals interpretabl…
Automatic Hard Example Synthesis with Multi-Level Agentic Data Curation
arXiv:2607.14256v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) are increasingly deployed for nuanced content safety and moderation tasks, yet they remain vulnerable to adversarial attacks and ou…
Stochastic Filtering for Quorum Sensing in Robot Swarms under Anonymous Communication
arXiv:2607.14262v1 Announce Type: new Abstract: Quorum Sensing (QS) is a key capability for robot swarms, useful for coordination of activities at the group level. Effective communication is instrumental for individuals …
MonteRET: AI Agent Enhancing Multimodal LLMs with Multi-granularity Knowledge Retrieval for Chest CT Report Generation
arXiv:2607.14264v1 Announce Type: new Abstract: Automated chest CT report generation remains challenging because clinically faithful reporting requires both whole-volume understanding and accurate description of localize…
NGMRES convergence analysis and proof of acceleration for contractive and noncontractive iterations
arXiv:2607.14268v1 Announce Type: new Abstract: This paper gives the first convergence analysis and proof of acceleration for nonlinear GMRES (NGMRES) applied to contractive and noncontractive fixed point iterations (FPI…
Local Additive Feature Attribution: A Mathematical Taxonomy and Reporting Checklist
arXiv:2607.14271v1 Announce Type: new Abstract: Feature-attribution methods are central to explainable artificial intelligence. Their assumptions are expressed in several mathematical languages: cooperative-game values, …
Lyapunov Guidance: A Unified Framework for Stabilizing Generative Flows
arXiv:2607.14272v1 Announce Type: new Abstract: Flow matching has emerged as an effective framework for learning complex data distributions, but adapting pretrained flow models to new tasks often requires computationally…
Learning reduced-order latent linear models for Kalman filtering of nonlinear systems
arXiv:2607.14273v1 Announce Type: new Abstract: We propose a filtering-oriented end-to-end learning framework to identify reduced-order models explicitly tailored for state estimation in high-dimensional nonlinear system…
AI Agents Do Not Fail Alone:The Context Fails First
arXiv:2607.14275v1 Announce Type: new Abstract: Context engineering has become central to building reliable AI agents, yet it remains largely unmeasured. Agents do not fail in isolation: their behavior is shaped by the i…
Multi-Head Latent Control: A Unified Interface for LLM Agent Decision Making
arXiv:2607.14277v1 Announce Type: new Abstract: Large language models are increasingly deployed as agents, but reliable agentic behavior requires more than next-token prediction. At inference time, it is preferred that a…
Asymptotical Analysis of the $(1+(\lambda,\lambda))$ GA Escape Time from Local Optima on Jump Functions
arXiv:2607.14278v1 Announce Type: new Abstract: The paper develops the approach to the runtime analysis of evolutionary algorithms on the basis of limit theorems from probability theory. We consider the family of Jump$_k…
DiMaS: Distribution Matching for Steering Vision-Language-Action Models
arXiv:2607.14280v1 Announce Type: new Abstract: Flow-matching-based vision-language-action (VLA) models have emerged as powerful policies for robotic manipulation, yet a critical capability remains underexplored: fine-gr…
ToolAlignBench: Investigating Alignment Conflicts in Tool-Calling Enabled LLMs
arXiv:2607.14285v1 Announce Type: new Abstract: Safety alignment in LLMs aims to align models with human values, but which values take precedence when they conflict? We investigate this question in the context of tool-ca…